msgpack-numpy-meshtensor

Meshtensor-compatible msgpack-numpy serialization package.

This is a shim package that depends on msgpack-numpy and ensures compatibility with the Meshtensor SDK's dependency requirements.

Metadata

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Source distribution for msgpack-numpy-meshtensor 0.5.0
File	Size	Uploaded
msgpack_numpy_meshtensor-0.5.0.tar.gz	1.4 kB	Feb 17, 2026	Details

Table of built distributions (wheels) for msgpack-numpy-meshtensor 0.5.0
File	Interpreter	ABI	Platform	Reset
msgpack_numpy_meshtensor-0.5.0-py3-none-any.whl 1.8 kB Feb 17, 2026	Python 3	none	any	Details

Total release size: 3.2 kB

Download URL	msgpack_numpy_meshtensor-0.5.0.tar.gz
Size	1.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`65c32e8fe4a2a994f7ba3821de853780273ef112764e853053c0e19aa7f4abf4`
BLAKE2b-256 checksum How to use checksums	`36c1f7c4da4f09f32bdb40dc7277bddac4aaac5d5121ad57ec93bc0dd5e8ecc8`
Upload date	Feb 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`

Download URL	msgpack_numpy_meshtensor-0.5.0-py3-none-any.whl
Size	1.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`59bbe6bdb264def7b7c02b6fbe30ee9eb607b97423ae339404aa37c89ed8c5fd`
BLAKE2b-256 checksum How to use checksums	`78da4bf0d94266437fd300ba0d9d36adb214cef1d0c4e8a3f1d81721dbe4ca08`
Upload date	Feb 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.12`

This release

0.5.0 This release